IQP: Incremental Query Construction, a Probabilistic Approach

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

Research Organisations

External Research Organisations

  • Commonwealth Scientific and Industrial Research Organisation (CSIRO)
View graph of relations

Details

Original languageEnglish
Title of host publication26th IEEE International Conference on Data Engineering, ICDE 2010 - Conference Proceedings
Pages349-352
Number of pages4
Publication statusPublished - 1 Jun 2010
Event26th IEEE International Conference on Data Engineering, ICDE 2010 - Long Beach, CA, United States
Duration: 1 Mar 20106 Mar 2010

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Abstract

This paper presents IQP - a novel approach to bridge the gap between usability of keyword search and expressiveness of database queries. IQP enables a user to start with an arbitrary keyword query and incrementally refine it into a structured query through an interactive interface. The enabling techniques of IQP include: (1) a conceptual framework for incremental query construction; (2) a probabilistic model to assess the possible informational needs represented by a keyword query; (3) an algorithm to perform an optimal query construction.

ASJC Scopus subject areas

Cite this

IQP: Incremental Query Construction, a Probabilistic Approach. / Demidova, Elena; Zhou, Xuan; Nejdl, Wolfgang.
26th IEEE International Conference on Data Engineering, ICDE 2010 - Conference Proceedings. 2010. p. 349-352 5447929 (Proceedings - International Conference on Data Engineering).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Demidova, E, Zhou, X & Nejdl, W 2010, IQP: Incremental Query Construction, a Probabilistic Approach. in 26th IEEE International Conference on Data Engineering, ICDE 2010 - Conference Proceedings., 5447929, Proceedings - International Conference on Data Engineering, pp. 349-352, 26th IEEE International Conference on Data Engineering, ICDE 2010, Long Beach, CA, United States, 1 Mar 2010. https://doi.org/10.1109/ICDE.2010.5447929
Demidova, E., Zhou, X., & Nejdl, W. (2010). IQP: Incremental Query Construction, a Probabilistic Approach. In 26th IEEE International Conference on Data Engineering, ICDE 2010 - Conference Proceedings (pp. 349-352). Article 5447929 (Proceedings - International Conference on Data Engineering). https://doi.org/10.1109/ICDE.2010.5447929
Demidova E, Zhou X, Nejdl W. IQP: Incremental Query Construction, a Probabilistic Approach. In 26th IEEE International Conference on Data Engineering, ICDE 2010 - Conference Proceedings. 2010. p. 349-352. 5447929. (Proceedings - International Conference on Data Engineering). doi: 10.1109/ICDE.2010.5447929
Demidova, Elena ; Zhou, Xuan ; Nejdl, Wolfgang. / IQP : Incremental Query Construction, a Probabilistic Approach. 26th IEEE International Conference on Data Engineering, ICDE 2010 - Conference Proceedings. 2010. pp. 349-352 (Proceedings - International Conference on Data Engineering).
Download
@inproceedings{be10d9cbef37409b8b467a02a8584778,
title = "IQP: Incremental Query Construction, a Probabilistic Approach",
abstract = "This paper presents IQP - a novel approach to bridge the gap between usability of keyword search and expressiveness of database queries. IQP enables a user to start with an arbitrary keyword query and incrementally refine it into a structured query through an interactive interface. The enabling techniques of IQP include: (1) a conceptual framework for incremental query construction; (2) a probabilistic model to assess the possible informational needs represented by a keyword query; (3) an algorithm to perform an optimal query construction.",
author = "Elena Demidova and Xuan Zhou and Wolfgang Nejdl",
year = "2010",
month = jun,
day = "1",
doi = "10.1109/ICDE.2010.5447929",
language = "English",
isbn = "9781424454440",
series = "Proceedings - International Conference on Data Engineering",
pages = "349--352",
booktitle = "26th IEEE International Conference on Data Engineering, ICDE 2010 - Conference Proceedings",
note = "26th IEEE International Conference on Data Engineering, ICDE 2010 ; Conference date: 01-03-2010 Through 06-03-2010",

}

Download

TY - GEN

T1 - IQP

T2 - 26th IEEE International Conference on Data Engineering, ICDE 2010

AU - Demidova, Elena

AU - Zhou, Xuan

AU - Nejdl, Wolfgang

PY - 2010/6/1

Y1 - 2010/6/1

N2 - This paper presents IQP - a novel approach to bridge the gap between usability of keyword search and expressiveness of database queries. IQP enables a user to start with an arbitrary keyword query and incrementally refine it into a structured query through an interactive interface. The enabling techniques of IQP include: (1) a conceptual framework for incremental query construction; (2) a probabilistic model to assess the possible informational needs represented by a keyword query; (3) an algorithm to perform an optimal query construction.

AB - This paper presents IQP - a novel approach to bridge the gap between usability of keyword search and expressiveness of database queries. IQP enables a user to start with an arbitrary keyword query and incrementally refine it into a structured query through an interactive interface. The enabling techniques of IQP include: (1) a conceptual framework for incremental query construction; (2) a probabilistic model to assess the possible informational needs represented by a keyword query; (3) an algorithm to perform an optimal query construction.

UR - http://www.scopus.com/inward/record.url?scp=77952780795&partnerID=8YFLogxK

U2 - 10.1109/ICDE.2010.5447929

DO - 10.1109/ICDE.2010.5447929

M3 - Conference contribution

AN - SCOPUS:77952780795

SN - 9781424454440

T3 - Proceedings - International Conference on Data Engineering

SP - 349

EP - 352

BT - 26th IEEE International Conference on Data Engineering, ICDE 2010 - Conference Proceedings

Y2 - 1 March 2010 through 6 March 2010

ER -

By the same author(s)